Tip (2) for R to Python and Vice-Versa seamlessly
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In continuation to my earlier R to Python tips, in order to deal with both Python and R simultaneously for client requests; this time with respect to plots where both schools as of now by large distinct in their plotting styles; Plotline a new python package for grammar of graphics will help us with ease for two language enthusiasts. Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Plotline which is almost in same style (> 90%) as ggplot2, claims to be an “implementation of a grammar of graphics in Python, it is based on ggplot2 and allows users to compose plots by explicitly mapping data to the visual objects that make up the plot”. Below is a quick example from the new API page:
## Installation
Conda – “conda install -c conda-forge plotnine”
(or)
PIP – “pip install plotnine”
## quick example from API page
from plotnine import ggplot, geom_point, aes, stat_smooth, facet_wrap
from plotnine.data import mtcars
(ggplot(mtcars, aes('wt', 'mpg', color='factor(gear)'))
+ geom_point()
+ stat_smooth(method='lm')
+ facet_wrap('~gear'))
Those who have not yet experience this can try out now and let me know your experiences at [email protected]
Happy R and Python Programming!